Hassuccessfullydebugged acomplexLLMHas traveledinternationallyto attend thisconferenceHas experiencewith low-resourcelanguages inNLPHas presenteda paper onnaturallanguagegenerationCan explain thedifferencebetween causaland maskedlanguagemodelsIs familiarwith theconcept ofpromptengineeringHas used agenerative AImodel tocreate art ormusicHas learneda newlanguage inthe last yearHas collaboratedon a researchpaper withsomeone from adifferent continentIs optimisticabout thefuture ofhuman-AIcollaborationHascontributedto an open-source AIprojectHasattended anICMLconferencebeforeIs currentlyworking on aprojectinvolving cross-lingual transferlearningKnows atleast threeprogramminglanguagesCan namethreedifferent LLMarchitecturesHaspublishedresearch onmultilingualLLMsHas used agenerative AImodel for anon-academicpurposeHas apreferred AIresearch toolthey canrecommendIs excitedabout thepotential ofLLMs ineducationIs interestedin the ethicalimplicationsof generativeAIHas used anLLM tosummarizeresearchpapersHasparticipated ina hackathonfocused on AIor LLMsCanrecommenda good AI ortech relatedpodcastHasexperiencewith fine-tuning a pre-trained LLMHassuccessfullydebugged acomplexLLMHas traveledinternationallyto attend thisconferenceHas experiencewith low-resourcelanguages inNLPHas presenteda paper onnaturallanguagegenerationCan explain thedifferencebetween causaland maskedlanguagemodelsIs familiarwith theconcept ofpromptengineeringHas used agenerative AImodel tocreate art ormusicHas learneda newlanguage inthe last yearHas collaboratedon a researchpaper withsomeone from adifferent continentIs optimisticabout thefuture ofhuman-AIcollaborationHascontributedto an open-source AIprojectHasattended anICMLconferencebeforeIs currentlyworking on aprojectinvolving cross-lingual transferlearningKnows atleast threeprogramminglanguagesCan namethreedifferent LLMarchitecturesHaspublishedresearch onmultilingualLLMsHas used agenerative AImodel for anon-academicpurposeHas apreferred AIresearch toolthey canrecommendIs excitedabout thepotential ofLLMs ineducationIs interestedin the ethicalimplicationsof generativeAIHas used anLLM tosummarizeresearchpapersHasparticipated ina hackathonfocused on AIor LLMsCanrecommenda good AI ortech relatedpodcastHasexperiencewith fine-tuning a pre-trained LLM

Human BINGO: Navigating Generative AI and LLMs Across Languages - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. Has successfully debugged a complex LLM
  2. Has traveled internationally to attend this conference
  3. Has experience with low-resource languages in NLP
  4. Has presented a paper on natural language generation
  5. Can explain the difference between causal and masked language models
  6. Is familiar with the concept of prompt engineering
  7. Has used a generative AI model to create art or music
  8. Has learned a new language in the last year
  9. Has collaborated on a research paper with someone from a different continent
  10. Is optimistic about the future of human-AI collaboration
  11. Has contributed to an open-source AI project
  12. Has attended an ICML conference before
  13. Is currently working on a project involving cross-lingual transfer learning
  14. Knows at least three programming languages
  15. Can name three different LLM architectures
  16. Has published research on multilingual LLMs
  17. Has used a generative AI model for a non-academic purpose
  18. Has a preferred AI research tool they can recommend
  19. Is excited about the potential of LLMs in education
  20. Is interested in the ethical implications of generative AI
  21. Has used an LLM to summarize research papers
  22. Has participated in a hackathon focused on AI or LLMs
  23. Can recommend a good AI or tech related podcast
  24. Has experience with fine-tuning a pre-trained LLM